apappascs_tavily-search-mcp-server

apappascs_tavily-search-mcp-server

3.1

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An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.

The Tavily Search MCP Server is a robust implementation designed to integrate seamlessly with the Tavily Search API, offering enhanced search functionalities tailored for large language models (LLMs). This server allows users to perform web searches with precision, controlling various parameters such as search depth, topic, and time range. It extracts the most relevant content from search results, ensuring high quality and optimal size. Users can also opt to include images, image descriptions, short LLM-generated answers, and raw HTML content. Additionally, the server supports domain filtering, enabling the inclusion or exclusion of specific domains in search results. The server is designed to be easily integrated with platforms like Claude Desktop, offering flexibility in deployment through npm or Docker.

Features

  • Web Search: Perform web searches optimized for LLMs, with control over search depth, topic, and time range.
  • Content Extraction: Extracts the most relevant content from search results, optimizing for quality and size.
  • Optional Features: Include images, image descriptions, short LLM-generated answers, and raw HTML content.
  • Domain Filtering: Include or exclude specific domains in search results.

Tools

  1. tavily_search

    Perform web search using the Tavily Search API